Skip to content
DraconiticResearch
Search Sources API
203,952 studies31 sourcesUpdated 32 min ago
PreprintCC BY 4.0Zenodo

Borel-Cantelli Thresholds and Algorithmic Randomness in Halting Probability — E8 Intelligence Research

  1. 1Independent Researcher, United Kingdom

Abstract

FINDING: Borel-Cantelli lemmas provide the threshold condition for almost-sure occurrence of infinitely many events, linking probability sums to binary/exponential decay rates. | MATH: First lemma: If Σₖ P(Aₖ) < ∞, then P(limsup Aₖ) = 0. Second lemma (independence): If Σₖ P(Aₖ) = ∞, then P(limsup Aₖ) = 1. Critical boundary: Σₖ 2⁻ᵏ converges (geometric series, ratio 1/2). The halting probability Ω = Σₖ 2⁻|pₖ| (Chaitin) is a normal number whose bits are algorithmically random — each bit deviation from 0.5 decays only as ~1/k, not exponentially, because Ω's bits are incompressible. | CONNECTION: The geometric series ratio 1/2 is the binary analogue of the golden ratio's self-similarity — both define convergent self-similar structures. The critical exponent k in 2⁻ᵏ maps to the dyadic lattice (Z[1/2]), a 1-dimensional analogue of crystallographic root systems. The threshold Σₖ P(Aₖ) = ∞ vs < ∞ is a phase transition at the "edge of convergence" — analogous to the critical point in percolati

Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Related

  1. Quantum Randomness, Turing Degrees, and Algorithmic Fractal Growth — E8 Intelligence Research
    Andrew Stewart Caldin
    ZenodoPreprintCC BY 4.0Zenodo
  2. Scattered Probability Bounds and CHSH-3 Randomness: No Direct Tsirelson-D4 Results — E8 Intelligence Research
    Andrew Stewart Caldin
    ZenodoPreprintCC BY 4.0Zenodo
  3. Algorithmic Randomness and Physical Typicality
    Jeffrey A. Barrett, Eddy Keming Chen, Josiah Lopez-Wild
    arXivPreprintCC BY 4.0Full textStatisticsGravitation & general relativityarXiv
  4. Replica Symmetry Breaking and Algorithmic Thresholds in Empirical Risk Minimization under Multi-Index Model
    Andrea Montanari, Kangjie Zhou
    arXivPreprintarXiv licenceFull textStatisticsarXiv
  5. E8‑Omega‑Phi Quantum Randomness and Self‑Correcting Memory — E8 Intelligence Research
    Andrew Stewart Caldin
    ZenodoPreprintCC BY 4.0Zenodo
BibTeX
@misc{caldin2026borelcantelli,
  title = {{Borel-Cantelli Thresholds and Algorithmic Randomness in Halting Probability — E8 Intelligence Research}},
  author = {Andrew Stewart Caldin},
  howpublished = {Zenodo},
  year = {2026},
  month = oct,
  doi = {10.5281/zenodo.23635145},
  url = {https://zenodo.org/records/23635145},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Borel-Cantelli Thresholds and Algorithmic Randomness in Halting Probability — E8 Intelligence Research
AU  - Andrew Stewart Caldin
PY  - 2026
DA  - 2026/10/25
PB  - Zenodo
DO  - 10.5281/zenodo.23635145
UR  - https://zenodo.org/records/23635145
AB  - FINDING: Borel-Cantelli lemmas provide the threshold condition for almost-sure occurrence of infinitely many events, linking probability sums to binary/exponential decay rates. | MATH: First lemma: If Σₖ P(Aₖ) < ∞, then P(limsup Aₖ) = 0. Second lemma (independence): If Σₖ P(Aₖ) = ∞, then P(limsup Aₖ) = 1. Critical boundary: Σₖ 2⁻ᵏ converges (geometric series, ratio 1/2). The halting probability Ω = Σₖ 2⁻|pₖ| (Chaitin) is a normal number whose bits are algorithmically random — each bit deviation from 0.5 decays only as ~1/k, not exponentially, because Ω's bits are incompressible. | CONNECTION: The geometric series ratio 1/2 is the binary analogue of the golden ratio's self-similarity — both define convergent self-similar structures. The critical exponent k in 2⁻ᵏ maps to the dyadic lattice (Z[1/2]), a 1-dimensional analogue of crystallographic root systems. The threshold Σₖ P(Aₖ) = ∞ vs < ∞ is a phase transition at the "edge of convergence" — analogous to the critical point in percolati  Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
ER  -